Allocation of radio resources to radio bearers

ABSTRACT

The invention relates to a method, a module and an algorithm for allocating radio resources to a plurality of radio bearers in a wireless communications network. In order to improve the allocation of resources, it is proposed that first the current activity status ( 21,22 ) is determined for each radio bearer and/or for each set of radio bearers of at least a selected group of said radio bearers and/or of sets of said radio bearers. Then, based on the probability (p, q) with which each radio bearer and/or set of said selected group will change its current activity status ( 21,22 ), a value is determined which is indicative of the probability of outage. Finally, it is decided based on a comparison of said determined value indicative of the probability of outage with a predetermined threshold value whether the current allocation of radio resources will be changed. The invention equally relates to a wireless access network comprising a corresponding module.

FIELD OF THE INVENTION

[0001] The invention relates to a method for allocating radio resources to a plurality of radio bearers in a wireless communications network. The invention equally relates to a module and an algorithm realizing such a method, and to a wireless access network comprising such a module.

BACKGROUND OF THE INVENTION

[0002] The allocation of radio resources to radio bearers employed in a wireless communications network is of particular relevance in packet switched networks.

[0003] Wideband Code Division Multiple Access (WCDMA) radio access networks (RAN), for example, comprise a dedicated packet scheduling (PS) module as part of a radio resource management (RRM). This module includes a packet scheduling, algorithm which is responsible for allocating radio resources to the radio bearers.

[0004] The ‘packet scheduling’ algorithm calls at regular intervals referred to as capacity grant period-an algorithm for modifying the current bitrate. This ‘bitrate modification’ algorithm is designed to maximize the utilization of the network while at the same time maintaining its stability.

[0005]FIG. 1 is a flow chart illustrating a possible implementation of a power-based ‘bitrate modification’ algorithm.

[0006] As a first step, the ‘bitrate modification’ algorithm is activated at the beginning of a new capacity grant period. The current total power P_(current) used by the radio bearers is provided as a parameter to the algorithm. The algorithm then compares the current total power level P_(current) with a predetermined admission threshold P_(threshold) minus a predetermined offset.

[0007] In case the current total power P_(current) is below the predetermined admission threshold P_(threshold) minus the predetermined offset, an ‘increase load’ algorithm is called by the ‘bitrate modification’ algorithm. The activated ‘increase load’ algorithm then attempts to increase the current load by running through a request queue in which all packet bearers desiring a higher bitrate have placed a request. The ‘increase load’ algorithm uses some granting criterion to determine whether or not to grant the requested bitrates. When the ‘increase load’ algorithm has completed its task, the ‘bitrate modification’ algorithm is terminated.

[0008] In case the current total power P_(current) exceeds the predetermined admission threshold P_(threshold) minus the predetermined offset, the ‘bitrate modification’ algorithm checks whether the current total power P_(current) moreover exceeds the predetermined admission threshold P_(threshold) by itself.

[0009] In case it is determined that the current total power P_(current) is below the predetermined admission threshold P_(threshold), the available resources are supposed to be utilized optimally in the radio access network, and the ‘bitrate modification’ algorithm is terminated.

[0010] If it is determined in contrast that the current total power P_(current) exceeds the predetermined admission threshold P_(threshold), a ‘decrease load’ algorithm is called. The activated ‘decrease load’ algorithm attempts to decrease the current load by decreasing the bitrates of the packet bearers until a criterion similar to the granting criterion is satisfied. When the ‘decrease load’ algorithm has completed its task, the ‘bitrate modification’ algorithm is terminated.

[0011] In a power-based packet-scheduling algorithm the granting criterion is based on estimates of the total received wideband power and the total transmitted wideband power at a base transceiver station (BTS).

[0012] The principle of any granting criterion is to estimate the impact of the proposed change (increase or decrease) on the system in order to enable the use of as much resources as possible without risking instability. Current algorithms take two approaches.

[0013] In a first, simple approach, the-power level after the change is estimated based on the current load and the desired changes. The algorithms then grants capacity to the requesting radio bearers if the estimated power level is below a predetermined threshold. However, the uncertainty of such an estimate can be quite high, especially if a lot of high bitrate packet bearers are served in a cell. Especially non-realtime (NRT) services such as web-browsing have a bursty behavior, and when they go from active to inactive or inactive to active this has a great impact on the actual received or transmitted power level. Assuming that the served NRT bearers are by random inactive at the time of making a decision whether to grant resources to another bearer, the system is thus likely to become instable if some of the NRT bearers turn active right after the admission of additional radio resources to the radio bearers. The result will be a low quality of the transmissions and dropped calls. One way to avoid such situations could be to set the admission threshold to a low value, but this would mean that capacity is wasted in the average case.

[0014] In a second approach, the potential power increase for the case that all inactive NRT radio bearers become active is estimated in addition to the power level after the desired changes. Requested additional radio resources are only granted if the sum of both estimates is below some predetermined power threshold. The allocation of radio resources is thus based in this approach on a consideration of the worst case in which all inactive NRT bearers become active. Thereby, instabilities can be avoided reliably, but if the NRT radio bearers occupy a large proportion of available resources and if the activity factor is low, a lot of capacity is wasted. If the NRT radio bearers occupy e.g. 75% of the available resources and the activity factor is ⅓ active time, the-wasted capacity is 50%., This approach can be assumed to be suitable for 3G networks in the first phase after their introduction, but as soon as high-speed NRT services become popular, it will waste a lot of capacity, since the worst case is very unlikely.

SUMMARY OF THE INVENTION

[0015] It is an object of the invention to enable an improved allocation of radio resources to radio bearers of a radio access network.

[0016] This object is reached according to the invention with a method for allocating radio resources to a plurality of radio bearers in a wireless communications network, which method comprises as a first step determining for each radio bearer and/or for each set of radio bearers of at least a selected group of said radio bearers and/or of sets of said radio bearers the current activity status. A set of radio bearers can be given for example by all radio bearers of a specific radio link between the network and a mobile terminal.

[0017] In a further step, a value indicative of the probability of outage is determined based on'the probability with which each radio bearer or each set of radio bearers of said selected group will change its current activity status. The term outage refers to an undesired state where the system cannot be expected to have enough resources to support all currently active users. This may be defined differently for different systems. In WCDMA, for instance, an outage event refers to the case where the total power exceeds a pre-defined threshold.

[0018] In a last step, it is decided based on a comparison of the determined value indicative of the probability of outage with a predetermined threshold value whether the current allocation of radio resources will be changed.

[0019] The object is equally reached with a module for a network element of a wireless communications network comprising means for changing the allocation of radio resources according to the proposed method. In addition, a wireless communications network is proposed which comprises such a module. Finally, the object of the invention is reached with an algorithm realizing the proposed method.

[0020] The invention proceeds from the idea that when it is known whether the probability of outage in a current situation exceeds a predetermined threshold value for this probability of outage, the resources can be increased or deceased more efficiently. A cell can be overbooked by admitting more radio bearers that could be served if they were all active at the same time. This increases the utilization of the available capacity compared to the second conventional method mentioned above. At the same time the risk of an instable system is decreased compared to the first conventional method mentioned above. In case there are e.g. many inactive NRT bearers this is considered in the computation of the probability of outage, and thus a proper safety margin can be achieved.

[0021] The value indicative of the probability of outage can be determined according to the invention in any suitable way by exploiting information about the probabilities of changes in the activity status of radio bearers or sets of radio bearers of a selected group of bearers or sets of bearers. The value indicative of the probability of outage can either consist in the probability of outage itself, or in a value in which the probability of outage has a known influence. Accordingly, the threshold value with which the value indicative of the probability of outage is compared is a threshold value for the probability of outage or some other threshold value depending on an acceptable probability of outage.

[0022] Preferred embodiments of the invention become apparent from the subclaims.

[0023] The change of the current allocation of radio resources according to the invention can consist in an increase and/or a decrease of the currently allocated resources. The radio resources allocated to the radio bearers are increased in case the comparison indicates that the probability of outage lies below a threshold value for said probability of outage.

[0024] The radio resources allocated to the radio bearers are reduced, in contrast, in case the comparison indicates that the probability of outage exceeds a threshold value for the probability of outage. The threshold value for the probability of outage indicates the allowed probability of outage and is at least included in said predetermined threshold value used for the comparison. Increasing or decreasing allocated radio resources can be achieved in particular by increasing or reducing the bitrate assigned to the different radio bearers. The predetermined threshold value can be different for increasing and decreasing the load.

[0025] The selected group of radio bearers and/or sets of radio bearers comprises advantageously all radio bearers of one cell of a wireless access network which are packet based, i.e. which may turn from active to inactive vice versa. Such packet radio bearers can be in particular, though not exclusively, NRT radio bearers.

[0026] In case the selected group of radio bearers and/or sets of radio bearers comprises NRT radio bearers, the group can comprise all NRT radio bearers or selected NRT radio bearers of the wireless communications network. The selected group may for example comprise all those NRT bearers allocated on dedicated channels (DCH). In downlink shared channel (DSCH), only the currently active NRT radio bearers are scheduled to transmit, thus a bearer cannot turn active randomly. However, the currently active bearer on a DSCH can randomly turn inactive, and moreover the situation may occur that no radio bearer has anything to transmit. This implies that also on the DSCH there is a random behavior, and therefore, the selected group may comprise NRT radio bearers allocated on the DSCH as well.

[0027] The invention can be used for allocating radio resources as well in the uplink as in the downlink. The value indicative of the probability of outage only has to be determined separately for transmitted and received signals.

[0028] The value indicative of the probability of outage can be determined based on the power employed in the wireless communications network by active radio bearers for receiving or transmitting signals. Alternatively, the value indicative of the probability of outage can be determined based on the throughput of received or transmitted data for active radio bearers.

[0029] The value indicative of the probability of outage can thus be determined for instance as the probability with which the total power of received or transmitted signals of all radio bearers in said wireless communications network will exceed a predetermined power level threshold value when taking into account the probability with which each radio bearer and/or set of radio bearers of said group of radio bearers and/or sets of radio bearers changes its current activity status within a predetermined period of time.

[0030] Equally, the value indicative of the probability of outage can be determined as the probability with which the total throughput of transmitted or received signals of all radio bearers in said wireless communications network will exceed a predetermined throughput threshold value when taking into account the probability with which each radio bearer and/or set of radio bearers of said group of radio bearers and/or sets of radio bearers changes its current activity status within a predetermined period of time.

[0031] In the two presented possibilities the value indicative of the probability of outage was determined as probability of an overload. Instead of by computing the exact probability of an overload, a value indicative of the probability of outage can also be estimated. An estimate is given by the sum of {circumflex over (μ)}_(total)+Q*{circumflex over (σ)}² _(total). In this sum, {circumflex over (μ)}_(total) is an expected mean power of received or transmitted signals, and {circumflex over (σ)}² _(total) is an expected variance of the power of received or transmitted signals. Both, {circumflex over (μ)}_(total) and {circumflex over (σ)}² _(total), are estimated based on the probabilities with which the radio bearers and/or sets of radio bearers of said group of radio bearers and/or sets of radio bearers will change their current activity status. Q is a fixed value selected depending on a predetermined threshold value for the probability of outage. Such an estimation is a more practicable possibility of determining a value indicative of the probability of outage, since it requires less computation power than an exact computation. It can lead to the same results, only with a lower accuracy in case the power is not distributed normally.

[0032] The same equation can be used for corresponding values for an expected mean throughput and an expected variance of the throughput of received or transmitted signals.

[0033] The possible activity states of the radio bearers or sets of radio bearers can be defined as desired. In a particular simple case, the activity states or radio bearers are restricted to two states, active and inactive. But different activity states of any number can be defined just the same.

[0034] The probability of a radio bearer or a set of radio bearers changing its-current activity status can be fixed for each possible change of said activity status, e.g. from active to inactive and vice versa, to an equal value for all radio bearers and/or all sets of radio bearers of the selected group of radio bearers and/or sets of radio bearers. Such an approach would constitute a particular simple solution. The probabilities with which a radio bearer or set of radio bearers changes its current activity status depends however on a variety of factors, which do not have to be equal for the different radio bearers or the different sets. Such a factor is for example the packet scheduling techniques used, and possibly also different kinds of services for which the radio bearers are employed. In order to obtain a more differentiated probability of a radio bearer or a set changing its current activity status, it is therefore proposed that the probability is determined for each possible change of the activity status depending on selected attributes of a radio bearer or a set or radio bearers. Alternatively, the probability can also be determined for each possible change of the activity status according to a statistical evaluation for the respective radio bearer or set or radio bearers.

[0035] In addition, the probabilities for each possible change of the activity status may change over time, which can, but does not have to, be taken account of in the determination of the probabilities.

[0036] According to the invention, the determination of a value indicative of the probability of outage is based on the probability of radio bearers changing their current activity status. An improved reliability of the determination of this value can be achieved, if it is based in addition on other factors having an influence on the probability of outage. Such factors can be for instance the probability of sudden changes in interference by other cells, or the probability of radio channel fading.

[0037] The invention is particularly, though not exclusively, suited for WCDMA radio access networks. The wireless communications network of the invention can thus be or comprise a WCDMA RAN. Especially in case combined GSM (Global System for Mobile communication) and WCDMA networks are used in which most speech calls are served on GSM and in which high-speed services are served on WCDMA, the usable capacity gained by the approach according to the invention can be significant compared to the second mentioned conventional approach.

BRIEF DESCRIPTION OF THE FIGURES

[0038] In the following, the invention is explained in more detail with reference to drawings, of which

[0039]FIG. 1 is a flow chart of a bitrate modification employed in the allocation of radio resources;

[0040]FIG. 2 is a special kind of state transition diagram for the activity status of a radio bearer where p and q may vary over time; and

[0041]FIG. 3 illustrates the life-time of a DCH serving an NRT radio bearer.

DETAILED DESCRIPTION OF THE INVENTION

[0042] The flow chart of FIG. 1 illustrating a power-based bitrate modification has already been described above.

[0043] Such a bitrate modification implemented in a PS module of a WCDMA RAN is also the basis for the exemplary embodiments of the invention that will be presented. The embodiments provide granting criterions, however, which are different from the conventional granting criterions. These granting criterions enable the ‘increase load’ algorithm and the decrease load, algorithm mentioned with reference to FIG. 1 to make a more differentiated decision on whether and how much the current load should be increased or decreased.

[0044] In a first embodiment of the invention the following granting criterion is used:

Pr(P _(total) >P _(threshold))<P _(outage),  (1)

[0045] wherein the left hand term constitutes the current probability of outage. In this left hand term, P_(total) is a random variable modeling the total received or transmitted wideband power, and P_(threshold) is a predetermined power threshold indicating at which power level an overload is reached. The right hand term P_(outage) is a predetermined threshold representing an acceptable outage probability.

[0046] If it is determined that the probability of an outage is below the predetermined probability of outage P_(outage), the load is increased by granting bitrates requested by the bearers. If the probability of an outage exceeds the predetermined probability of an outage P_(outage), the current load is decreased by decreasing the bitrates of the packet bearers by an amount which would make the determined and the predetermined probability of outage equal.

[0047] It will now be described how the left hand term of equation (1) can be calculated.

[0048] The probability density function (pdf) of the P_(total) random variable can be described by considering some power estimate function f(a₁, a₂, . . . , a_(n), S) depending on the random variables a_(i) each modeling the activity of the NRT radio bearers and some additional paramters S describing the current state of the cell, e.g. the last power level. Each bearer can be in one of two states of activity, active or inactive. These states have Bernoulli distributions where the probabilities are either q and 1-q or p and 1-p, depending on whether the NRT bearer is currently active or inactive.

[0049]FIG. 2 shows a state transition diagram illustrating the different possible transition probabilities for one radio bearer. A first ellipse 21 on the left hand side of the figure represents an inactive state of an NRT bearer, while a second ellipse 22 on the right hand side of the figure represents an active state of an NRT bearer. The possible transitions between the two states are indicated by arrows. When the current state 21 of the bearer is inactive, the probability that it will become active within some selected time interval is p. When the current state 22 of the bearer is active, the probability of becoming inactive within the selected time interval is q. It may also happen that the bearer stays in its current state 21, 22. This has a probability of 1-p for a currently inactive state 21, and a probability of 1-q for a currently active state 22 of the bearer. The probabilities p and q may vary over time.

[0050] The power estimate P_(total) can be considered as the sum of the current total power and an estimated change of the power. The power estimate functions f(a₁, a₂, . . . ,a_(n),S) are different for-uplink and downlink.

[0051] For the uplink, the power estimate is based in this embodiment on the “:Integral Method” described in: “Uplink Admission Control and Soft Capacity with MUD in CDMA”, 1999, by Holma, H., Laakso, J., for determining the estimated change in the received power Δ{circumflex over (P)}_(rx,total): $\begin{matrix} {{{\Delta \quad {\hat{P}}_{{rx},{total}}} = {\frac{\Delta \quad \hat{\eta}}{1 - \eta_{old} - {\Delta \quad \hat{\eta}}}P_{{rx},{total},{old}}}},} & (2) \end{matrix}$

[0052] where η_(old) is the load fraction of the previous period, Δ{circumflex over (η)} is the estimated change in load fraction, and P_(rx,total,old) is the total received power of the previous period.

[0053] The load fraction is defined to be: $\begin{matrix} {{\eta_{old} = \frac{P_{{rx},{total},{old}} - P_{{rx},{noise}}}{P_{{rx},{total},{old}}}},} & (3) \end{matrix}$

[0054] where P_(rx,noise) is the received noise power.

[0055] The required load fraction contribution of a single active NRT bearer is: $\begin{matrix} {{\eta_{i} = \frac{1}{\frac{W}{\rho_{i}R_{i}} + 1}},} & (4) \end{matrix}$

[0056] where W is the WCDMA system chiprate, ρ_(i) is the required E_(b)/N₀ (ratio between the energy per useful bit and the noise power spectral density) of the i^(th) bearer, and R_(i) is the bitrate of the i^(th) bearer.

[0057] From this, the Δ{circumflex over (η)} estimate due to NRT activity change can be produced: $\begin{matrix} {{{\Delta \quad \hat{\eta}} = {\sum\limits_{i = 1}^{N}\left( {\frac{a_{i,{new}}}{\frac{W}{\rho_{i,{new}}R_{i,{new}}} + 1} - \frac{a_{i,{old}}}{\frac{W}{\rho_{i,{old}}R_{i,{old}}} + 1}} \right)}},} & (5) \end{matrix}$

[0058] where the activity variables a_(i) have states 0 and 1 to model “inactive” and “active”, respectively, and where N is the number of NRT bearers. The subscript label old is used to indicate a variable or measurement from the previous period, and the subscript label new is used to indicate a variable or measurement for the new, i.e. the following, period.

[0059] Now, for each configuration (a₁,a₂, . . . ,a_(N)) of the a_(i)'s an estimated change in the receiver power Δ{circumflex over (P)}_(rx,total) can be computed. Then the set of configurations S_(grant) is determined in which the granting criterion holds:

S _(great)={(a ₁ ,a ₂ , . . . ,a _(N))ε[0,1]^(N) |P _(rx,total) +Δ{circumflex over (P)} _(rx,total)(a ₁ ,a ₂ , . . . ,a _(N))<P _(threshold)}.  (6)

[0060] The probability of this set can finally be computed as the sum of the probabilities of the configurations: $\begin{matrix} {{\Pr \left( {{P_{{rx},{total}} + {\Delta \quad {\hat{P}}_{{rx},{total}}}} < P_{threshold}} \right)} = {\sum\limits_{{({a_{1},a_{2},\ldots \quad,a_{N}})} \in S_{grant}}{\left( {\prod\limits_{i = 1}^{N}{\Pr \left( a_{i} \right)}} \right).}}} & (7) \end{matrix}$

[0061] For the downlink, the procedure is similar except that another power estimation function is used. The total transmitted power is denoted P_(tx,total).

[0062] The estimated change of the current power P_(tx,total) can be computed by the following equation: $\begin{matrix} {{{\Delta \quad {\hat{P}}_{{tx},{total}}} = \frac{{\Delta \quad \hat{A}P_{{tx},{total},{old}}} + {\Delta \quad \hat{B}}}{1 - A_{old} - {\Delta \quad \hat{A}}}},} & (8) \end{matrix}$

[0063] where the downlink “load measures” A and B are defined as: $\begin{matrix} \begin{matrix} {A = {\sum\limits_{i = 1}^{N_{active}}A_{i}}} \\ {B = {\sum\limits_{i = 1}^{N_{active}}B_{i}}} \end{matrix} & (9) \end{matrix}$

[0064] A_(i) and B_(i) are individual contributions from the i^(th) of all. N_(active) active bearers of the cell: $\begin{matrix} {{A_{i} = \frac{\left( {1 - \alpha_{i}} \right)}{\frac{W}{\rho_{i}R_{i}} + \left( {1 - \alpha_{i}} \right)}},} & (10) \\ {and} & \quad \\ {B_{i} = {\frac{\left( \frac{P_{{noise},i} + P_{{other},i}}{h_{i}} \right)}{\frac{W}{\rho_{i}R_{i}} + \left( {1 - \alpha_{i}} \right)} = {\frac{\left( {\frac{P_{{tx},{pilot}}}{\rho_{{pilot},i}} - P_{{tx},{total}}} \right)}{\frac{W}{\rho_{i}R_{i}} + \left( {1 - \alpha_{i}} \right)}.}}} & (11) \end{matrix}$

[0065] In these equations, α_(i) is the orthogonality of the i^(th) bearer, P_(noise,i) is the received noise power at the user equipment of the i^(th) bearer, P_(other,i) is the received other cell interference at the user equipment of the i^(th) bearer, h_(i) is the path loss towards the user equipment of the i^(th) bearer, P_(tx,pilot) is the pilot power transmitted by the BTS, and ρ_(pilot,i) is the pilot power E_(c)/N₀ (ratio of energy per modulating bit to the noise spectral density) measurement in the user equipment of the i^(th) bearer.

[0066] From this the ΔÂ and Δ{circumflex over (B)} estimates due to NRT activity change can be obtained: $\begin{matrix} {{{\Delta \quad \hat{A}} = {\sum\limits_{i = 1}^{N}\left( {\frac{a_{i,{new}}\left( {1 - \alpha_{i}} \right)}{\frac{W}{\rho_{i,{new}}R_{i,{new}}} + \left( {1 - \alpha_{i}} \right)} - \frac{a_{i,{old}}\left( {1 - \alpha_{i}} \right)}{\frac{W}{\rho_{i,{old}}R_{i,{old}}} + \left( {1 - \alpha_{i}} \right)}} \right)}},} & (12) \\ {and} & \quad \\ {{{\Delta \quad \hat{B}} = {\sum\limits_{i = 1}^{N}\left( {\frac{a_{i,{new}}\left( {\frac{P_{{tx},{pilot}}}{\rho_{{pilot},i}} - P_{{tx},{total}}} \right)}{\frac{W}{\rho_{i,{new}}R_{i,{new}}} + \left( {1 - \alpha_{i}} \right)} - \frac{a_{i,{old}}\left( {\frac{P_{{tx},{pilot}}}{\rho_{{pilot},i}} - P_{{tx},{total}}} \right)}{\frac{W}{\rho_{i,{old}}R_{i,{old}}} + \left( {1 - \alpha_{i}} \right)}} \right)}},} & (13) \end{matrix}$

[0067] where the used subscript labels new and old indicate again whether the respective parameter belongs to the previous or the new, following period.

[0068] Now, for each configuration (a₁,a₂, . . . , a_(N)) of the a_(i)'s, the estimated change in the transmitted power Δ{circumflex over (P)}_(tx,total) can be computed. Then the set of configurations S_(grant) is determined in which the granting criterion holds:

S _(grant)={(a ₁ ,a ₂ , . . . ,a _(N))ε[0,1]^(N) |P _(tx,total) +Δ{circumflex over (P)} _(tx,total)(a ₁ ,a ₂ , . . . ,a _(N))<P_(tx,threshold)}  (14)

[0069] Finally, the probability of this set is computed as the sum of the probabilities of the configurations: $\begin{matrix} {{\Pr \left( {{P_{{tx},{total}} + {\Delta \quad {\hat{P}}_{{tx},{total}}}} < P_{{tx},{threshold}}} \right)} = {\sum\limits_{{({a_{1},a_{2},\ldots \quad,a_{N}})} \in S_{grant}}{\left( {\prod\limits_{i = 1}^{N}{\Pr \left( a_{i} \right)}} \right).}}} & (15) \end{matrix}$

[0070] Equations (7) and (15) have the disadvantage that they are not very tractable for computing the probability density function over P_(tx,total,new), since they are exponential in the number of NRT bearers. Therefore, as a second embodiment of the invention an estimation is proposed which has the same outcome except some loss in accuracy and which can thus be employed instead of the exact computation of the probability Pr(P_(total)<P_(threshold)).

[0071] Instead of computing the exact probability of an overload Pr(P_(total)<P_(threshold)) the activity probabilities of the individual bearers can be used for estimating the mean {circumflex over (μ)}_(total) and variance {circumflex over (σ)}² _(total) of the total receiving or transmitting power for use in the following granting criterion:

{circumflex over (μ)}_(total) +Q{circumflex over (σ)} _(total) <P _(threshold),  (16)

[0072] wherein the term on the left in equation (16) constitutes an estimated 1-p_(outage) percentile of the P_(total) random variable. Q is a constant which is computed directly from a predetermined outage probability threshold p_(outage). More specifically, Q(p_(outage))=φ⁻¹*(1−p_(outage)), where φ⁻¹ is the inverse of the cdf (cumulative distribution function) of a standard normal distribution. If for instance a normal distribution and an outage probability of 5% are assumed, a value Q of 1.64 would be required.

[0073] In case of normal distribution, the criterion of equation (16) is equivalent to the criterion in equation (1). Both determine whether the probability of outage is expected to be greater than a predetermined threshold value p_(outage).

[0074] However, in general a normal distribution cannot be assumed. In this case, the equation (16) presents a good approximation which makes the algorithm run faster.

[0075] It will now be described in more detail how the mean {circumflex over (μ)}_(total) and the variance {circumflex over (σ)}² _(total) can be determined for the uplink and for the downlink based on the probabilities of the radio bearers changing their current activity state.

[0076] The mean estimate {circumflex over (μ)}_(rx,total) for the received power in the uplink can be computed from the equation:

{circumflex over (μ)}_(rx,total) =P′ _(rx,total) +Δ{circumflex over (P)} _(rx,total),  (17)

[0077] where P′_(rx,total) is the latest measurement of total received power, and Δ{circumflex over (P)}_(rx,total) is the estimated change due to a modified bitrate and to radio bearers toggling between active and inactive status. Δ{circumflex over (P)}_(rx,total) is estimated by using again the above mentioned “Integral Method” with: $\begin{matrix} {{\Delta \quad {\hat{P}}_{{rx},{total}}} = {\frac{\Delta \quad \hat{\eta}}{1 - \eta^{\prime} - {\Delta \quad \hat{\eta}}}{P_{{rx},{total}}^{\prime}.}}} & (18) \end{matrix}$

[0078] In this equation η′ is the load fraction defined as: $\begin{matrix} {\eta^{\prime} = {\frac{P_{{rx},{total}}^{\prime} - P_{{rx},{noise}}}{P_{{rx},{total}}^{\prime}}.}} & (19) \end{matrix}$

[0079] and Δ{circumflex over (η)} is the estimated load change generated as follows: $\begin{matrix} {{\Delta \quad \hat{\eta}} = {{\sum\limits_{i = 1}^{N_{modified}}\left( {\eta_{i,{new}} - \eta_{i,{old}}} \right)} + {\sum\limits_{i = 1}^{N_{inactive}}{p_{UL}\eta_{i}}} - {\sum\limits_{i = 1}^{N_{active}}{q_{UL}\eta_{i}}}}} & (20) \end{matrix}$

[0080] In equation (20), the individual load contributions η_(i) are defined from the bitrate and the required E_(b)/N₀ as follows: $\begin{matrix} {\eta_{i} = \frac{1}{1 + \frac{W}{\rho_{i}R_{i}}}} & (21) \end{matrix}$

[0081] where W is the WCDMA chiprate, R_(i) is the bearer bitrate, and ρ_(i) is the required E_(b)/N₀.

[0082] Equation (20) consist of three terms. The first term determines the load change of bearers requesting more capacity. All modified bearers are expected to be active in the following period. The second term determines the load change due to inactive users becoming active. Finally, the third term determines the load change due to active users becoming inactive, wherein active users which are treated as modified are excluded. In the second and the third term, two parameters p_(UL) and q_(UL) are defined to describe the probability of going from inactive to active and the other way round, respectively.

[0083] The standard deviation {circumflex over (σ)}_(rx,total) of the received power in the uplink can be estimated by modelling the total received power random variable P_(rx,total) as a constant mean μ_(rx,total) plus the random variable ε_(rx,MRT) modelling the uncertainty due to the current NRT bearer activity status:

P _(rx,total)=μ_(rx,total)+ε_(rx,NRT)  (22)

[0084] The received power variance, which will lead directly to the desired standard deviation estimate {circumflex over (σ)}_(rx,NRT), is estimated from this equation (22) to: $\begin{matrix} {{{\hat{\sigma}}_{{rx},{NRT}}^{2} = {{\hat{\mu}}_{{rx},{NRT}}^{2}\left( {{\sum\limits_{i = 1}^{N_{active}}\left( {{p_{i}\left( {1 - p_{i}} \right)}\eta_{i}^{2}} \right)} + {\sum\limits_{i = 1}^{N_{inactive}}\left( {{q_{i}\left( {1 - q_{i}} \right)}\eta_{i}^{2}} \right)}} \right)}},} & (23) \end{matrix}$

[0085] where N_(NRT) is the number of NRT bearers on DCH.

[0086] The mean estimate {circumflex over (μ)}_(tx,total) and standard deviation estimate {circumflex over (σ)}_(tx,NRT) for the transmitted-power in the downlink can be computed in a similar way.

[0087] In both embodiments presented for determining an overload probability in uplink and in downlink, the two transition probabilities p and q illustrated in FIG. 2 are required for each NRT radio bearer of the RAN. These probabilities can be determined in a variety of ways with different accuracies. They can be fixed for instance to the same values for all NRT bearers of the random access network, or different probabilities p, q can be determined for each bearer based on some attributes of the bearers. Further, a time dependent statistical evaluation of the transitions can be carried out for each individual bearer.

[0088] As one example, a method will now be described for determining fixed values of p an q based on a very simple traffic model for web-browsing behavior.

[0089] The NRT traffic will be modeled as a web browsing model in this embodiment, since it is assumed that most NRT traffic will be web-browsing. This may of course change when new services are introduced, which has to be taken this into account.

[0090] A very simple version of web-browsing behavior is sketched in FIG. 3.

[0091] A web-browsing behavior for downlink is characterized by some initial signaling 31 including the TCP connection and an initial HTTP request. This initial signaling 31 is followed by a series 32 of packet bursts. During each burst, the employed radio bearer is in an active state, and during the periods between the bursts the bearer is in an inactive state. After each burst, an inactivity timer is set 33. The series 32 of bursts is terminated either when the connection is closed directly or when the DCH inactivity timer reaches a threshold for deallocating the DCH. The threshold is set in a range of 0 to 20 seconds. It is assumed that the initial signaling 31 is done on a CCH (Common Channel) and that as soon as transmission bursts 32 are initiated a DCH is allocated.

[0092] The TCP slow start behavior is not modeled in this embodiment. This has an impact on the setting of p and q, since the slow start means the first part 31 of the active periods in FIG. 3 would be split into a series of short bursts, and thus, the probability of changing state would be increased in this case.

[0093] If assuming as parameter values a packet call size of 25 kbytes and a reading time of 5 seconds as time between two bursts to model web-browsing traffic in downlink, estimates for p and q can be obtained. A bitrate of 64 kbits/s corresponds with the assumed parameter values to a packet download time of around 3 seconds. Looking at a period of 100 ms, the probability of changing state from active to inactive and vice verca can now be estimated. A change from inactive to active has a probability of p=0.1 s/5 s=0.02. A change from active to inactive has a probability of q=0.1 s/3 s=0.033.

[0094] In both cases it was assumed that the average remaining time of the current active/inactive period is equal to the reading time, hence the activity change process is assumed to follow an exponential distribution. Moreover, the inactivity time-out period was not considered. Instead it was simply assumed that a deallocation of the DCH is similar to being inactive, which is the state at the time of deallocation.

[0095] For simplicity it was further assumed that using 64 kbits/s as download time is approximately applicable for all bitrates. This can be done if it is expected that the user behavior depends on the available bitrate, i.e.(if it can be expected that in case a high bitrate is available it is more likely that the user will download large files and similarly, that in case only a low bitrate is available the user will avoid heavy web-pages and files. 

1. Method for allocating radio resources to a plurality of radio bearers in a wireless communications network, said method comprising: determining for each radio bearer and/or for each-set of radio bearers of at least a selected group of said radio bearers and/or of sets of said radio bearers the current activity status (21,22); determining a value indicative of the probability of outage based on the probability (p,q) with which each radio bearer and/or each set of radio bearers of said selected group will change its current activity, status (21,22); and deciding based on a comparison of said determined value indicative of the probability of outage with a predetermined threshold value whether the current allocation of radio resources is changed.
 2. Method according to claim 1, wherein it is decided that radio resources allocated to the radio bearers are increased in case said comparison indicates that the probability of outage lies below a threshold value for said probability of outage.
 3. Method according to claim 1 or 2, wherein it is decided that radio resources allocated to the radio bearers are reduced in case said comparison indicates that the probability of outage exceeds a threshold value for said probability of outage.
 4. Method according to one of the preceding claims, wherein said wireless communications network is a cellular network, and wherein said selected group of radio bearers comprises radio bearers used in one cell of said wireless communications network.
 5. Method according to one of the preceding claims, wherein said selected group of radio bearers and/or sets of radio bearers comprises only packet radio bearers used in said wireless communications network.
 6. Method according to one of the preceding claims, wherein said selected group of radio bearers and/or sets of radio bearers comprises only non-realtime (NRT) radio bearers used in said wireless communications network.
 7. Method according to one of the preceding claims, wherein said selected group of radio bearers and/or sets of radio bearers comprises non-realtime (NRT) radio bearers allocated on dedicated channels (DCH).
 8. Method according to one of the preceding claims, wherein the selected group of radio bearers and/or sets of radio bearers comprises non-realtime (NRT) radio bearers allocated on downlink shared channels (DSCH).
 9. Method according to one of the preceding claims, wherein as said value indicative of the probability of outage the probability is determined with which the total power of received or transmitted signals respectively of all radio bearers in said wireless communications network will exceed a predetermined power level threshold value, when taking into account the probability (p,q) with which each radio bearer and/or set of radio bearers of said group of radio bearers and/or sets of radio bearers will change its current activity status (21,22) within a predetermined period of time.
 10. Method according to one of claims 1 to 8, wherein as said value indicative of the probability of outage the probability is determined with which the total throughput of transmitted or received signals respectively of all radio bearers in said wireless communications network will exceed a predetermined throughput threshold value, when taking into account the probability (p,q) with which each radio bearer and/or set of radio bearers of said selected group of radio bearers and/or sets of radio bearers will change its current activity status (21,22) within a predetermined period of time.
 11. Method according to one of claims 1 to 8, wherein the sum {circumflex over (μ)}_(total)+Q*{circumflex over (σ)}² _(total) is determined as said value indicative of the probability of outage, wherein {circumflex over (μ)}_(total) is an expected mean power of received or transmitted signals respectively, wherein {circumflex over (σ)}² _(total) is an expected variance of the power of received or transmitted signals respectively, {circumflex over (μ)}_(total) and {circumflex over (σ)}² _(total) being estimated based on the probabilities (p,q) with which the radio bearers and/or sets of radio bearers of said selected group of radio bearers and/or sets of radio bearers will change their respective current activity status (21,22), and wherein Q is a fixed value selected depending on a predetermined threshold value for the probability of outage.
 12. Method according to one of the preceding claims, wherein said value indicative of the probability of outage is determined based in addition to the probability (p,q) with which each radio bearer-and/or set of radio bearers of said selected group of radio bearers and/or sets of radio bearers will change its current activity status (21,22) on other factors having an influence on the probability of outage.
 13. Method according to one of the preceding claims, wherein said activity status (21,22) can be either active or inactive.
 14. Method according to one of the preceding claims, wherein the probability (p,q) of a radio bearer or a set of radio bearers changing its current activity status (21,22) is fixed for each possible change of an activity status (21,22) to an equal value for all radio bearers or sets of radio bearers of said selected group of radio bearers and/or sets of radio bearers.
 15. Method according to one of claims 1 to 13, wherein the probability (p,q) of a radio bearer or a set of radio bearers changing its current activity status (21,22) is determined for each radio bearer or set of radio bearers of said selected group of radio bearers and/or sets of radio bearers depending on selected attributes of said radio bearer or said set of radio bearers.
 16. Method according to one of claims 1 to 13, wherein the probability (p,q) of a radio bearer or a set of radio bearers changing its current activity status (21,22) is determined is determined for each possible change of an activity status (21,22) according to a statistical evaluation for the respective radio bearer or a set of radio bearers.
 17. Method according to one of the preceding claims, wherein said wireless communications network is a wideband code division multiple access (WCDMA) radio access network (RAN).
 18. Module for a network element of a wireless communications network comprising means for changing the allocation of radio resources according to one of the preceding claims.
 19. Module according to claim 18, wherein said means for changing the allocation of radio resources are an algorithm implemented in said module.
 20. Module according to claim 18 or 19, wherein said module is a packet scheduling module for a wideband code division multiple access (WCDMA) radio access network (RAN).
 21. Wireless communications network comprising a network element with a module according to one of claims 18 to
 20. 22. Wireless communications network according to claim 21, which is a wideband code division multiple access (WCDMA) radio access network (RAN).
 23. Algorithm for realizing the method according to one of claims 1 to
 17. 